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共 962 条记录，以下是141-150 订阅

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Direction Finding and array Calibration Based on Sparse Reconstruction in Partly Calibrated arrays

Direction Finding and Array Calibration Based on Sparse Reco...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Steffens, Christian Parvazi, Pouyan Pesavento, Marius Tech Univ Darmstadt Commun Syst Grp Darmstadt Germany

ISBN: (纸本)9781479914814

A novel convex optimization problem formulation for source localization using partly calibrated arrays composed of subarrays with unknown displacements is introduced. The proposed formulation is based on sparse reconstruction using a mixed trace- and l(1)-norm minimization and exploits joint sparsity and special structure in the signal model. The new technique is applicable to subarrays of arbitrary topologies and allows the joint estimation of the directions of arrival (DoAs) and the array calibration. As shown by simulations, our new DoA estimation technique outperforms the state of the art method RARE, especially in low number of snapshot and low signal-to-noise ratio regime.

关键词： Partly Calibrated array Direction Finding Sparse Reconstruction Trace-Norm Minimization

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Statistical performance of the MVDR beamformer in the presence of diagonal loading

Statistical performance of the MVDR beamformer in the presen...

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1st ieee sensor array and multichannel signal processing workshop (SAM 2000)

作者： Fertig, LB MIT Lincoln Lab Lexington MA 02173 USA

ISBN: (纸本)0780363396

New results are derived that describe the statistical performance of the MVDR (minimum variance distortionless response) adaptive beamformer when the weights are computed utilizing the sample covariance matrix and diagonal loading. It is well known that undesirably high sidelobes are generated when the unaugmented sample covariance matrix is used as an estimate of the true covariance matrix in adaptive beamforming algorithms. In practice, diagonal loading is frequently employed to reduce this deleterious effect. However, surprisingly little information is available in the technical literature that enables the user to predict the statistical performance of the MVDR algorithm when the sample covariance matrix and diagonal loading are employed. We help fill this gap by generating an approximate probability density function for the adaptive beam response for the diagonally loaded MVDR algorithm. The approximations are valid for an important class of signal scenarios. The utility of the new analysis is demonstrated via simulation. In particular, the new results are used to estimate the probability density function of the range sidelobe level for a wideband radar system in which adaptive beamforming and pulse compression are implemented in subbands.

关键词： Adaptive arrays Adaptive systems Analytical models array signal processing Covariance matrix Interference Laboratories Phased arrays Probability density function Radar

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Iterative compensation of microphone array and sound source movements based on minimization of arrival time differences

Iterative compensation of microphone array and sound source ...

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3rd ieee sensor array and multichannel signal processing workshop

作者： Horiuchi, T Mizumachi, M Nakamura, S ATR Spoken Language Translat Res Labs Kyoto 6190288 Japan

ISBN: (纸本)0780385454

This paper proposes an iterative compensation method to deal with relative change of sound source location caused by rapid movements of a microphone array and a sound source. This method introduces a delay filter that has shifted and sampled sinc functions. This paper presents a concept that applies both the error function of the adaptive algorithms to estimate two-dimensional direction-of-arrival and the coordinate system of a moving microphone array. This method directly estimates the relative directions of the microphone array to the sound source directions by minimizing the relative differences of arrival time among the observed signals, not by estimating the time difference of arrival (TDOA) between two observed signals. This method compensates the time delay of the observed signals simultaneously, and it has a feature to ensure that the output signals are in phase. Simulation results support effectiveness of the method.

关键词： Microphones

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ON THE ESTIMATION OF THE COVARIANCE EIGENSPECTRUM OF array SAMPLE OBSERVATIONS

ON THE ESTIMATION OF THE COVARIANCE EIGENSPECTRUM OF ARRAY S...

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ieee sensor array and multichannel signal processing workshop

作者： Rubio, Francisco Mestre, Xavier CTTC Barcelona 08860 Spain

ISBN: (纸本)9781424422401

In this paper, we propose an estimator of the eigenspectrum of the array observation covariance matrix that builds upon the well-known power method and is consistent for an arbitrarily large array dimension. Traditional estimators based on the eigendecomposition of the sample covariance matrix are known to be consistent provided that the number of observations grow to infinity with respect to any other dimension in the signal model. On the contrary, in order to avoid the loss in the estimation accuracy associated with practical finite sample-size situations, a generalization of the conventional implementation is derived that proves to be a very good approximation for a sample-size and an array dimension that are comparatively large. The proposed solution is applied to the construction of a subspace-based extension of the Capon source power estimator. For our purposes, we resort to the theory of the spectral analysis of large dimensional random matrices, or random matrix theory. As it is shown via numerical simulations, the new estimator turns out to allow for a significantly improved estimation accuracy in practical finite sample-support scenarios.

关键词： Covariance matrix

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Augmented L-shaped Nested array Based on the Fourth-order Difference Co-array Concept 10

Augmented L-shaped Nested Array Based on the Fourth-order Di...

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10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Li, Xiangnan Ren, Shiwei Liu, Jianyan Wang, Weijiang Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China Sci & Technol Space Phys Lab Beijing 100076 Peoples R China

ISBN: (纸本)9781538647523

This paper presents a new two dimentional(2D) sparse array called the augmented L-shaped nested array based on the concept of fourth-order difference co-array. By properly choosing the relative positions of two L-shaped nested arrays, one could obtain a virtual planar array containing a large-scale hole-free uniform rectangular co-array. As a result, the degree of freedom could be greatly enhanced. Many theoretical properties are derived and simulations are included by considering the fourth-order cumulants of quasi-stationary signal to validate the superior performance of the proposed array in comparison with other 2D sparse arrays.

关键词： Two dimensional displays sensor arrays Covariance matrices array signal processing Planar arrays Conferences"

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Strategies for principal component analysis in wireless sensor networks

Strategies for principal component analysis in wireless sens...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Ghadban, Nisrine Honeine, Paul Francis, Clovis Mourad-Chehade, Farah Farah, Joumana Univ Libanaise Fac Genie Beirut Lebanon Univ Technol Troyes CNRS Inst Charles Delaunay Troyes France Holy Spirit Univ Kaslik Fac Engn Telecommun Dept Beirut Lebanon

ISBN: (纸本)9781479914814

This paper deals with the issue of monitoring physical phenomena using wireless sensor networks. It provides principal component analysis for the time series of sensors' measurements. Without the need to compute the sample covariance matrix, we derive several in-network strategies to estimate the principal axis, including noncooperative and diffusion strategies. The performance of the proposed strategies is illustrated in the issue of monitoring gas diffusion.

关键词： Principal component analysis wireless sensor network adaptive learning distributed processing

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Unambiguous AOA Estimation Using SODA Interferometry for Electronic Surveillance

Unambiguous AOA Estimation Using SODA Interferometry for Ele...

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ieee 7th sensor array and multichannel signal processing workshop (SAM)

作者： Ly, Peter Q. C. Elton, Stephen D. Gray, Douglas A. Li, Joy Def Sci & Technol Org Elect Warfare & Radar Div Edinburgh SA 5111 Australia Univ Adelaide Sch Elect & Elect Engn Adelaide SA 5006 Australia

ISBN: (纸本)9781467310710

This paper presents two fast and computationally efficient interferometric algorithms that allow high accuracy, unambiguous angle-of-arrival (AOA) estimates to be obtained using physically large wideband antennas that are suitable for electronic surveillance. The performance of the algorithms are compared against conventional interferometric techniques using simulations and are also verified experimentally.

关键词： angle of arrival interferometry second order difference array ambiguity resolution

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Passive Angle-Doppler Profile Estimation for Narrowband Digitally Modulated Wireless signals 12

Passive Angle-Doppler Profile Estimation for Narrowband Digi...

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ieee 12th sensor array and multichannel signal processing workshop (SAM)

作者： Argyriou, Antonios Univ Thessaly Dept Elect & Comp Engn Volos Greece

ISBN: (纸本)9781665406338

In this paper, we improve estimation of the Doppler shift present in signals that originate from multiple wireless digital communication transmitters. We deploy a uniform linear array (ULA) that overhears the frequency band of interest, hence an unauthorized wireless receiver (URx), and propose an algorithm for extracting the symbol duration from the unknown modulated data. The baseband wireless modulated signal is stripped from its data-induced phase shifts, allowing us to calculate high quality estimates of the periodogram, the spectrogram, and the angle-Doppler profile. Performance results show that high quality results without artifacts from digital modulation can be obtained.

关键词： Wireless communication Wireless sensor networks Transmitters Digital modulation Estimation Symbols signal processing algorithms

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Subspace Tracking with Dynamical Models on the Grassmannian 13

Subspace Tracking with Dynamical Models on the Grassmannian

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13rd ieee sensor array and multichannel signal processing workshop (SAM)

作者： Saad-Falcon, Alex Ancelin, Brighton Romberg, Justin Georgia Inst Technol Dept Elect & Comp Engn Atlanta GA 30332 USA

ISBN: (纸本)9798350344820;9798350344813

Tracking signals in dynamic environments presents difficulties in both analysis and implementation. In this work, we expand on a class of subspace tracking algorithms which utilize the Grassmann manifold - the set of linear subspaces of a high-dimensional vector space. We design regularized least squares algorithms based on common manifold operations and intuitive dynamical models. We demonstrate the efficacy of the approach for a narrowband beamforming scenario, where the dynamics of multiple signals of interest are captured by motion on the Grassmannian.

关键词： signal processing subspace estimation beamforming array processing grassmann manifold

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Evaluation and tuning of a SAR detector using sparse-array spotlight mode simulations

Evaluation and tuning of a SAR detector using sparse-array s...

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4th ieee sensor array and multichannel signal processing workshop

作者： Linnehan, Robert Schindler, John Brady, David USAF Res Lab Sensors Directorate Hanscom AFB MA 01731 USA Anteon Corp Bedford MA 01731 USA Northeastern Univ ECE Dept Boston MA 02115 USA

ISBN: (纸本)1424403081

We describe a method of tuning a simple detection process of stationary targets in SAR images. The tuning metric accounts for the squared-error performance of prescient estimators of target location and reflectivity. The efficiencies of these prescient estimators are compared to their Cramer Rao bounds (CRBs). The off-line tuning is performed by collecting statistics of scatterer estimation in SAR images created using sparse-array spotlight mode simulations.

关键词： Synthetic aperture radar

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